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Agent Post-Training, Artifacts Research at OpenAI - ApplyBlast

Agent Post-Training, Artifacts Research

OpenAI

3 months ago

4.5 on Glassdoor

Remote

Full Time

Senior

7 applicants

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About this role

This role involves training frontier models to create polished, useful work products like documents, spreadsheets, and dashboards with strong structure and visual appeal. You will own end-to-end improvements to the post-training stack, including reinforcement learning, data pipelines, and evaluation systems, while collaborating with researchers and product teams to shape agent behavior.

Responsibilities

Design and run experiments to improve agentic model behavior for complex software.
Own end-to-end improvements to the post-training stack including RL and data pipelines.
Build evals and environments that expose model failures for training data generation.
Partner with product teams to translate user needs into model improvements.
Debug hard failures in shipped models and convert qualitative behavior into concrete fixes.

Skills

Qualifications

BS in Computer Science or related fieldExperience with LLMs and post-training techniquesStrong background in machine learning and software engineeringHands-on experience with RLHF or RLAIFFamiliarity with production ML systems

About OpenAI

openai.com

Headquarters

San Francisco, California, United States

Company Size

201-500 employees

Founded

2015

View Profile

OpenAI is an AI research and deployment company that develops advanced artificial intelligence models and products, including ChatGPT and APIs, to help people and organizations solve problems, create content, and build intelligent applications.